VeryAI raised $10 million led by Polychain to build fingerprint biometrics and crypto identification infrastructure that helps exchanges, airdrops, and DAOs filter bots, deepfakes, and Sybil attacks at scale.
Summary
- Polychain led the $10 million round, along with Berggruen Institute, Anagram, and Solana co-founder Anatoly Yakovenko, indicating strong political and crypto backing.
- VeryAI positions itself as an “identity verification infrastructure,” using fingerprint biometrics plus cryptographic identification so that apps can access real users without storing raw biometric data.
- The stack targets exchanges, airdrops, social applications, and on-chain governance, with the goal of driving Sybil-resistant voting, fair token delivery, and anti-fraud controls in the DeFi and NFT markets.
Identity verification startup VeryAI has raised $10 million in new funding to build cryptographic and biometric fingerprint identification tools aimed at filtering out bots, deepfakes, and synthetic identities at internet scale, according to an official announcement.
Polychain Leads $10M Round in Biometric and Crypto ID Stack
VeryAI said the $10 million funding round was led by Polychain Capital, with participation from the Berggruen Institute, Anagram, and Solana co-founder Anatoly Yakovenko, among other angel backers. The cap table indicates clear alignment with both top-tier crypto-VCs and ecosystem builders who are already fighting spam, Sybil attacks, and AI-generated identity fraud on Web3 and social platforms.
The company describes itself as an “identity verification infrastructure,” positioning its stack as a base layer to which applications, protocols and platforms can connect rather than a consumer-facing KYC widget. That framework puts VeryAI squarely in the emerging “proof of humanity” arms race, where on-chain identity, real user activation, and compliance increasingly collide with ideals of privacy and decentralization.
Palm biometrics plus privacy verification
VeryAI is developing a privacy check first system built around fingerprint biometrics combined with cryptographic identity technology, instead of traditional document uploads or facial scans. The goal is to allow services to distinguish real humans from bots, deepfakes and synthetic identities without exposing raw biometric data, hinting at the use of techniques such as zero knowledge proofs or secure enclaves to keep underlying signals private.
The project explicitly aims for Internet-scale implementation: idea exchanges, airdrops, social platforms, and chain governance all need a reliable “one person, one account” primitive in a world inundated by AI agents. For cryptocurrencies, this type of infrastructure is directly relevant to Sybil-resistant voting, fair token distributions, and anti-fraud controls in DeFi and NFT Marketswhile providing regulators and institutions with a story that is not just KYC with a lot of surveillance.
